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The client: Allianz Home & Motor InsuranceData Strategy Awards

Allianz Home & Motor Insurance operated a large-scale customer acquisition programme via outbound telemarketing using shared data from many affinity partners.

The objective: To identify the key drivers behind customer conversion and improve data performance across all affinities to produce higher customer conversion rates from fewer outbound calls.

The solution: The development of three separate propensity models for home insurance and three further models for motor insurance. Each consists of two bespoke affinity partner models for the top two ranking affinities, and one generic model for all remaining affinities. The models were developed based on overall conversion to sale and applied to all outbound prospect data to ensure maximum return in terms of policy sales achieved.

During a test period, by applying all six models the equivalent number of motor and home policies was sold by calling just 60% of the data.

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'The team at Datalytics was quick to understand our business issues and set about developing an effective solution straight away. As well as improving our overall quote to sale conversion rates, Datalytics were able to provide additional insights into how our customers behave. We continue to work closely with the Datalytics team on a number of projects across different business disciplines'

Marketing Database Manager, Allianz Insurance